摘要
机器视觉应用于玉米籽粒品质检测有助于实现玉米品质鉴定、种类识别和分级工作的自动化、智能化,一些研究者已经开展了相关研究工作,有部分成果已经开始投入应用。对现有成果及时总结能够发现问题和不足,推动相关工作进一步深入发展。文中从图像预处理、品质鉴定、种类识别、分级4个方面对相关工作进行了综述,从应用方向、图像采集、特征提取与模式识别等方面分析了存在的问题,指出了今后一些具体的工作方向,可供今后开展相关工作参考。
Application of computer vision in corn grain quality detection will introduce more automation and intelligence into corn grain quality identification, corn type identification and corn grain grading. Some researches have conducted relevant research work for several years and some parts of their achievements have come into application. A timely summary of each work is helpful to find out the problems and the insufficiency, which will lead the work to a further development. This paper summarizes the related work in four aspects ： image pre - processing, quality identification, type identification and grading;analyses of the problems in application direction,image acquisition,feature extraction and pattern recognition, etc. , and points out some future work directions.
出处
《中国粮油学报》
EI
CAS
CSCD
北大核心
2013年第4期124-128,共5页
Journal of the Chinese Cereals and Oils Association
基金
国家自然科学基金(41001235
41171341)
河南省科技攻关项目(102102110149)
关键词
玉米
品质检测
机器视觉
corn
quality detection
computer vision
